Shuo-yiin Chang

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 5 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shuo-yiin Chang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. Mike Schuster
  5. Yoshua Bengio
  6. Jimmy Ba
  7. Josh Tenenbaum
  8. Alex Krizhevsky
  9. Arun Narayanan
  10. Ilya Sutskever

Papers from Shuo-yiin Chang's perspective

Ordered by how strongly the researchers Shuo-yiin Chang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers